Back

Robust capability of renal tubule fatty acid uptake from apical and basolateral membranes in physiology and disease

Kawakami, R.; Hanaoka, H.; Kanai, A.; Obinata, H.; Nakano, D.; Ikeuchi, H.; Matsui, M.; Matsuzaki, T.; Tanaka, R.; Sunaga, H.; Goto, S.; Matsui, H.; Koitabashi, N.; Saegusa, K.; Yokoyama, T.; Hiromura, K.; Nishiyama, A.; Saito, A.; Yanagita, M.; Ishii, H.; Kurabayashi, M.; Iso, T.

2022-07-05 biochemistry
10.1101/2022.07.04.498762 bioRxiv
Show abstract

Excess lipid accumulation is associated with obesity-related chronic kidney disease, but the mechanisms of fatty acid (FA) uptake have been poorly understood. To this end, we investigated how FAs are taken up by tubular epithelial cells (TECs) in mice by using in vivo FA tracing and histological methods. Immunohistochemistry showed that CD36, which is a well-known FA transporter, was abundantly expressed on the basolateral side of proximal TECs (PTECs). The uptake of 125I-BMIPP (a radiolabeled FA tracer) was significantly reduced in CD36-knockout kidneys at 1 min after injection. In vivo imaging with multiphoton microscopy revealed that BODIPY-C12 (a fluorescence-labeled FA tracer) accumulated on both the basolateral and apical sides of PTECs. Numerous lipid droplets accumulated in PTECs after accelerated lipolysis. Furthermore, PTEC-specific injury via diphtheria toxin (DT) injection in transgenic mice expressing the DT receptor resulted in a compensatory increase in lipid accumulation in downstream TECs. Importantly, urinary FAs were undetectable, even in mice and humans with remarkable albuminuria. Our data demonstrate that renal TECs take up FAs from blood (CD36-dependent) and primary urine (CD36-independent) and can store excess FAs as neutral lipids. The results further show that renal tubules have hitherto largely unappreciated mechanisms by which the excretion of FAs into the urine is avoided.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.